An Interferometer Direction Finding Method Based on Neural Network

To improve the direction finding precision of interferometer,the multi-baseline interferometer is modeled and expressed with mathematic model,and the direction-finding error is shown with theoretical analysis.A new direction finding algorithm for multi-baseline interferometer is presented,which is based on neural network.After that the BP neural network is improved by Levenberg-Marquardt algorithm.Finally,a simulation experiment is made.The experiment results show that the algorithm based on the BP neural network improves the precision of airborne interferometer,and the improved BP network is faster and more efficient than the BP neural network.